EuroEval Dutch

How well a model handles Dutch, as the unweighted mean of EuroEval's primary metric over its 9 Dutch datasets (dbrd, conll_nl, dutch_cola, squad_nl, wiki_lingua_nl, include_nl, multiloko_nl, winogrande_nl, duidelijke_taal). The primary metric differs by task — MCC for classification, knowledge and common-sense reasoning, micro-F1 without MISC for entity recognition, F1 for reading comprehension, chrF++ for summarization, METEOR for simplification — and is always the first of the two the board prints. Only models measured on every dataset are included, so each mean covers the same ground. Most rows are the validation split; some older open-weight rows are the test split, which EuroEval ranks in the same table.

ModelsModels with a result.168
Top resultBest result on this benchmark.74.7%GPT-6 Astra
Top-3 spreadPoints from first to third.1.6 pts
YearYear of release.—

Result and price

38 of 175 results

Results

175 results
#ModelResultThe score from the source.
01GPT-6 Astra74.7% ±0.3
02GPT-6.1 Sol74.0% ±0.4
03Gemini 3.7 Flash73.1% ±0.4
04Gemini 3.6 Flash71.8% ±0.3
06GPT-5.6 Sol68.7% ±0.4
07GPT-6 Sol67.5% ±0.4
08GLM-5.3-Flash66.0% ±0.4
11GPT-5.6 Terra65.0% ±0.5
13Qwen3.6 27B FP864.0% ±0.4
15Qwen3.5 35B A3B FP863.3% ±0.6
19GPT-4.1Above fitFar above this model's index.62.6% ±0.5
21Qwen3.8-27B62.1% ±0.5
25GPT-5 mini60.1% ±0.4
26Claude Sonnet 4.659.7% ±0.4
28GPT-5.6 Luna59.3% ±0.6
29GPT-6 Luna59.0% ±0.4
30GPT-OSS 120B57.8% ±0.4
34Gemma 4 12B IT57.3% ±0.5
37Gemma 3 27B Pt56.5% ±0.4
40GPT-5.256.2% ±0.5
41Qwen3.5 9B Base55.6% ±0.7
47Qwen3 4B Thinking53.8% ±0.4
49GPT-5 nano53.7% ±0.5
52Claude Haiku 4.553.4% ±0.5
52Gemma 3 12B Pt53.4% ±0.4
54GLM-4.7-Flash53.3% ±0.6
58Gemma 3 12B52.4% ±0.3
60Qwen3.5 9B52.2% ±0.5
60Apertus V1.5 70B52.2% ±0.6
68Ministral 3 8B Base50.1% ±0.7
71Gemma 4 E4B IT49.8% ±0.5
74Qwen3.5 4B Base48.3% ±0.9
77EuroLLM 22B 251246.7% ±0.6
80Nesso 4B45.8% ±0.3
82Aya Expanse 8B45.5% ±0.7
84Gemma 4 12B44.9% ±0.7
85Qwen3.5-4B44.6% ±0.7
88Domyn Small V1.044.3% ±0.6
89Llama 3.1 8B43.8% ±0.4
90AMALIA 9B DPO43.3% ±0.6
91Gemma 4 E2B IT43.1% ±0.5
92AMALIA 9B SFT43.0% ±0.4
92EuroLLM 9B43.0% ±0.5
94Gemma 3 4B Pt41.6% ±0.4
97Exaone 4.0 32B41.2% ±0.6
101Qwen3.5 2B40.2% ±0.6
102Luciole 23B Base40.0% ±0.6
103Gemma 3 4B39.8% ±0.6
104Apertus V1.1 4B38.4% ±0.6
105Llama 3.2 3B Instruct38.2% ±0.4
107SmolLM3 3B Base37.4% ±0.4
109DFM Mimir36.5% ±0.5
111LFM2.5 8B A1B Base36.3% ±0.7
112DFM Mimir V1.535.9% ±0.5
113Qwen3.5 2B Base35.7% ±0.7
115Occiglot 7B Eu535.2% ±0.4
119Luciole 8B Base33.6% ±0.7
121Gemma 4 E4B33.2% ±0.8
122Aya 23 8B33.1% ±0.7
125Qwen3.5 0.8B31.9% ±0.6
131Lizzy 7B28.8% ±0.6
132Trustllm V2 8B28.6% ±0.5
135Apertus V1.1 1.5B27.1% ±0.7
136Qwen3.5 0.8B Base27.0% ±0.7
138Salamandra 7B26.2% ±0.4
139Llama 3.2 1B25.3% ±0.5
140Qwen3 0.6B24.8% ±0.4
143Gemma 3 1B Pt24.4% ±0.7
144YuLan Mini Instruct24.3% ±0.5
146Gemma 4 E2B24.1% ±0.7
148Apertus V1.1 0.5B23.7% ±0.8
149Trustllm V2 8B SFT23.4% ±0.2
150Luciole 1B Base23.3% ±0.9
153Gemma 3 1B IT21.5% ±0.3
154LFM2.5-8B-A1B21.1% ±0.7
155Pleias 1.2B Preview20.8% ±0.6
156LFM2 1.2B18.2% ±0.4
158Llama 3.2 1B Instruct15.0% ±0.5
159SmolLM2 360M14.2% ±0.5
160Pleias 350M Preview14.0% ±0.5
161Gemma 3 270M13.6% ±0.6
162LFM2 700M13.3% ±0.4
165LFM2 350M10.4% ±0.5
166Ling Mini 2.09.9% ±0.6
166SmolLM2 135M9.9% ±0.4
166Gemma 3 270M IT9.9% ±0.5
173Monad2.1% ±0.3
174Muse 3B0.4% ±0.5